Eyrene is a complete solution for retail with real-time high-accuracy image recognition technology and powerful business intelligence on board. It is designed to help brands monitor their goods at offline stores in real time without any effort.
🎉🎉🎉 Hey, PH community 👋
Happy having you here! Some information on Eyrene and what we're doing. So, in a nutshell, Eyrene is helping fast-moving consumer goods companies like PepsiCo, Henkel, Nestle, Mars, etc., to increase the visibility of their products in the supermarkets to make sure that people can find them there. Our end-users are sales representatives that deliver products to the shelves.
⚡ How it works:
1. End-user opens up the application and selects the store.
2. Then the sales representative, in 5 seconds, gets a call to action report on what is missing on the shelf and all shelf KPIs calculated to act upon it.
🚀 Why it's important?
You cannot imagine how complicated the analytics systems of big transnational brands producing food, beverage, and home care categories are. Yet, in the last fifty years, they have mastered the art of driving their sales with visibility on the shelves.
So sales representatives and merchandisers have a picture of success they must enforce in each store they visit. And our SaaS makes it all automatically.
🔥What is the value?
1. Time. The typical sales rep can spend up to 30 minutes to get everything calculated (all products in the category sometimes should be counted)
2. Visibility. With higher visibility, brands are generating more sales.
3. Management. Imagine that you have a team of 100 - 1000 sales reps visiting 20-40 stores daily. It's impossible to know how efficient their job is without looking at the shelves.
4. Competition. Our SaaS provides unique granular data on the competitors, including their shelf share and pricing (we recognize price tags.)
🔧 Eyrene can be used via a standalone app or integrated with salesforce automation systems(SFA).
🚀 We invite companies from the retail environment to have a discovery call and discuss how we can increase sales.
☁️ For those already using some alternative solution, we're offering a free pilot project to prove that we can do it better.
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@alex_berenov Discovered this launch on Invincible Product Hunters community. Upvoted! :)
@george_goognin Hey George, so on average, we help our customers to increase on-shelf availability by 5% in the first month of the work, decrease the time of the visit by 50%(we measure time for audit), save at least 100-200K USD on market research programs from the well-known agencies. At the moment, we're working with six out of top ten largest FMCG brands
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Hi, I’m Pavel, an Eyrene co-founder and CTO.
We started Eyrene to help brands and manufacturers deal with all-too-common out-of-stock situations in stores and get insights into whether their promotions are efficient enough compared to the competition.
And also because I wanted my children's favorite yogurt to always be in stock in the store nearby (now the manufacturer of this yogurt is our big customer).
We wanted to create a complete solution based on real-time high-accuracy image recognition technology and powerful business intelligence.
We ended up with a platform based on 4 components: a web-based solution, a mobile application, video cameras, and API. The ability to combine all those approaches ensures that brands get a 360-degree solution to dominate the market.
With Eyrene video cameras deployed right in stores, manufacturers get up-to-date information about the situation on the shelves at any time of the day.
With our mobile app, merchandisers visiting stores as a part of their daily job can capture the images of the shelves, send them to the CPG manager, and make the recommended changes, if any.
The Eyrene web-based analytical platform provides the ability to analyze the large amount of data received from multiple geo-locations.
For manufacturers who use third-party analytical and management tools, there is an API to integrate the Eyrene solution with these tools easily.
We’re proud of the high accuracy in image recognition that we deliver - it identifies the data on price tags with a 98% accuracy and product categories with a 95% accuracy. We deliver a powerful tool that can be quickly implemented (in just 4-6 weeks -- and this is fast for an enterprise AI project), easily used, and scaled. Merchandisers will spend less time in stores (up to 5 minutes!), and brands will pay less for their services.
Happy to answer all questions here. :)
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I think it's really great job and amazing product 💪 Congrats on the launch 🔥
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I think this is ready interesting. I assume that Stores will have no 'privacy' issues with a videocam being placed on their premises.
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Hi @steven_mak, thanks for your interest! Our cams look at products on the shelves and blur store visitors to address privacy concerns.
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Thanks for making and sharing this product 🙏. Congrats on your launch 🚀. Very helpful. Do let me know if I can help spread the word ❤️.
@alex_berenov this has the makings of a successful story! I have been in this space in sub-Saharan Africa for a decade, where the value of time has been undervalued. With the growing consumer populations we see here businesses can no longer afford to be time in-efficient. Nice one. 👍
Why there's no point in giving up
First story
When I became the CEO and founder of an AI startup, I wasn't skillful in investor talks. There were many occasions when investors agreed to the meeting, but after a meeting disappeared due to unclear market size and the idea that our solution was too niche. However, they still have been buying food in supermarkets, and in many cases, our SaaS has been recognizing this food. At an early stage, we had only one interested investor, and he had wired the money before the Christmas holidays, making it all happen.
Second story
I remember how complicated it was to persuade customers to test us. As I recall, one of the managers asked how many photos our system was processing per month, and when I replied that we were in the pilot stage, he said that a reliable system should be processing millions. In three years, this company started using our solution and canceled the contract with the competitor.
Third story
Our partner introduced me to a sales manager of a large FMCG brand. They thought of buying Image Recognition, but well-known vendors were too expensive and unreliable, and they wanted to test someone else. So the sales manager proposed to run a free test for 100 000 store visits and then started examining me on the complete list of their SKU, waiting for my mistake. Of course, I didn't know it and refused to name all their SKU because I was not a category manager. After the call, I politely declined to do a pilot with 100 000 visits for free.
PS In 1.5 years, we rolled out that brand. However, I never met or heard of that guy.
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